15 citations · 29 across the 4 of their papers we have counts for
4 papers
Dimensionality Reduction by Local Discriminative Gaussians
Nathan Parrish, Maya Gupta
We present local discriminative Gaussian (LDG) dimensionality reduction, a supervised dimensionality reduction technique for classification. The LDG objective function is an approx…
Multi-Task Averaging
Sergey Feldman, Bela A. Frigyik, Maya R. Gupta
We present a multi-task learning approach to jointly estimate the means of multiple independent data sets. The proposed multi-task averaging (MTA) algorithm results in a convex com…
Bounds on the Bayes Error Given Moments
Bela A. Frigyik, Maya R. Gupta
We show how to compute lower bounds for the supremum Bayes error if the class-conditional distributions must satisfy moment constraints, where the supremum is with respect to the u…
Functional Bregman Divergence and Bayesian Estimation of Distributions
B. A. Frigyik, S. Srivastava, M. R. Gupta
A class of distortions termed functional Bregman divergences is defined, which includes squared error and relative entropy. A functional Bregman divergence acts on functions or dis…